代码搜索:Problem

找到约 10,000 项符合「Problem」的源代码

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www.eeworm.com/read/182037/5274157

java bitnander.java

/* * BitNander.java 1.0 05/04/13 * * Copyright 2004-2005 Positronic Software. * * */ package positronic.satisfiability.elements; /** * An extension of the Problem class which imposes a Boole
www.eeworm.com/read/179911/5299831

via-chipset

Running sound cards on VIA chipsets o There are problems with VIA chipsets and sound cards that appear to lock the hardware solidly. Test programs under DOS have verified the problem exists on at l
www.eeworm.com/read/168763/5439028

readme

Hi, so this is the port to the Embedded Planet RPX Super Board. ATTENTION This code is only tested on the AY-Version, which is an early release with some hardware bugs. The main problem is that this
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lint

addfea.c ============== (107) warning: data_ptr unused in function main (422) warning: main() returns random value to invocation environment warning: possible pointer alignment problem (290)
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c pr24623.c

/* This used to ICE due to a backend problem on s390. */ /* { dg-do compile } */ /* { dg-options "-O1" } */ class ReferenceCounted { public: virtual ~ ReferenceCounted () { } void decremen
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mm proto-lossage-3.mm

/* Crash due to descriptionFor(Instance|Class)Method applied to a protocol with no instance/class methods respectively. Problem report and original fix by richard@brainstorm.co.uk. */ /* { dg-d
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m proto-lossage-3.m

/* Crash due to descriptionFor(Instance|Class)Method applied to a protocol with no instance/class methods respectively. Problem report and original fix by richard@brainstorm.co.uk. */ /* { dg-d
www.eeworm.com/read/350097/3134721

via-chipset

Running sound cards on VIA chipsets o There are problems with VIA chipsets and sound cards that appear to lock the hardware solidly. Test programs under DOS have verified the problem exists on at l
www.eeworm.com/read/344585/3207683

m demhmc1.m

%DEMHMC1 Demonstrate Hybrid Monte Carlo sampling on mixture of two Gaussians. % % Description % The problem consists of generating data from a mixture of two % Gaussians in two dimensions using a hybr
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m demkmn1.m

%DEMKMEAN Demonstrate simple clustering model trained with K-means. % % Description % The problem consists of data in a two-dimensional space. The data is % drawn from three spherical Gaussian distri